Results 91 to 100 of about 8,084,029 (292)

Physics-Informed Neural Network for the Transient Diffusivity Equation in Reservoir Engineering [PDF]

, 2023
Physics-Informed machine learning models have recently emerged with some interesting and unique features that can be applied to reservoir engineering.
Badawi, Daniel, Gildin, Eduardo
core  

An improved water strider algorithm for solving the inverse Burgers Huxley equation

Scientific Reports
In this paper, we introduce an improved water strider algorithm designed to solve the inverse form of the Burgers-Huxley equation, a nonlinear partial differential equation.
Hassan Dana Mazraeh, Kourosh Parand, Mehdi Hosseinzadeh, Jan Lansky, Vladimír Nulíček   +4 more
doaj   +1 more source

Physics Informed Neural Networks for Modeling Large-Scale Wind Driven Ocean Circulation

IEEE Access
This study investigates the application of the physics informed neural network as a meshfree collocation method for approximating solutions to large-scale wind driven ocean circulation models.
Boohyun An, Mohammad Z. Shanti, Chan Yeob Yeun, Ernesto Damiani, Sungmun Lee, Tae-Yeon Kim   +5 more
doaj   +1 more source

On the stability and convergence of physics informed neural networks

IMA Journal of Numerical Analysis
Abstract Physics Informed Neural Networks is a numerical method that uses neural networks to approximate solutions of partial differential equations. It has received a lot of attention and is currently used in numerous physical and engineering problems.
Dimitrios Gazoulis, Ioannis Gkanis, Charalambos G. Makridakis   +2 more
openaire   +2 more sources

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Molecular physics-informed neural network (mPINN) for solving the molecular dynamics equation of motion with energy conservation

Machine Learning: Science and Technology
Machine learning (ML) is increasingly utilized in molecular dynamics (MD) simulations to investigate complex system properties across disciplines ranging from chemical and physical sciences to engineering.
Temoor Muther, Vuong Van Pham, Amirmasoud Kalantari Dahaghi   +2 more
doaj   +1 more source

Determinants of Body Mass Index in Early Systemic Sclerosis: Implications for Nutritional Risk Stratification

Arthritis Care &Research, EarlyView.
Objective Gastrointestinal (GI) involvement can lead to malnutrition in patients with systemic sclerosis (SSc). Body mass index (BMI) remains the most widely used marker to screen nutritional status. We aimed to identify predictors of lower BMI in patients with SSc. Methods Patients with SSc from a prospective US cohort meeting 2013 American College of
Ali Y. Ayla, Meng Zhang, Bingrui Chen, Claudia Pedroza, Brian Skaug, Maureen Mayes, Michael Hughes, Shervin Assassi, Zsuzsanna H. McMahan   +8 more
wiley   +1 more source

Cross-geometry pretraining for equivariant neural networks: Improving molecular property prediction under computational constraints [PDF]

AIP Advances
Neural operators have revolutionized parametric partial differential equation solving by learning mappings between infinite-dimensional function spaces with unprecedented parameter space generalization.
Kushal Raj Roy
doaj   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

Beyond Visual Scoring: Computational Computed Tomography Analysis for High‐Resolution Computed Tomography–Based Quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

Arthritis Care &Research, EarlyView.
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil, Tobias Hoffmann, Ulf Teichgräber, Diane Renz, Denise Beckmann, Gunter Wolf, Nicole Schadewaldt, Bianca Lassen‐Schmidt   +7 more
wiley   +1 more source